Photos | Gathering for Lunch at Local Cafeteria

Dave B and a group of seven men enjoy a meal and conversation at a bustling cafeteria in Los Angeles. The diverse group is seated at a communal dining table and surrounded by furniture and home decor, while plates and cutlery scatter the surface.
BLIP-2 Description:
a group of people at a table with foodMetadata
Capture date:
Original Dimensions:
960w x 1280h - (download 4k)
Usage
Location:
architecture cutlery bracelet cafeteria boy pants spoon bowl building meal food portrait child footwear chair buffet faucet dish wristwatch restaurant furniture justin m court wood shoe bag pottery dave shirt glasses indoors lunch shorts dining district rekognition_c jewelry todd sink table accessories room couch cafe home plate decor photography cup handbag linen andy n
iso
125
metering mode
5
aperture
f/2.2
focal length
3mm
latitude
34.05
longitude
-118.26
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2015-08-06T15:52:03.999000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(30.81%)
curation
(92.10%)
highlight visibility
(7.72%)
behavioral
(90.71%)
failure
(-0.81%)
harmonious color
(-0.17%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(8.26%)
intrusive object presence
(-11.57%)
lively color
(10.64%)
low light
(4.15%)
noise
(-4.13%)
pleasant camera tilt
(-6.41%)
pleasant composition
(-48.93%)
pleasant lighting
(-17.52%)
pleasant pattern
(5.27%)
pleasant perspective
(-16.47%)
pleasant post processing
(-0.07%)
pleasant reflection
(-5.11%)
pleasant symmetry
(0.12%)
sharply focused subject
(1.03%)
tastefully blurred
(-22.22%)
well chosen subject
(-71.58%)
well framed subject
(-5.62%)
well timed shot
(-9.50%)
all
(-6.36%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.